Semi-bipartite graph visualization for gene ontology networks

Xu, Kai ORCID: https://orcid.org/0000-0003-2242-5440, Williams, Rohan, Hong, Seok-Hee, Liu, Qing and Zhang, Ji (2010) Semi-bipartite graph visualization for gene ontology networks. In: Graph drawing : 17th International Symposium (GD 2009) Revised Papers. Springer, pp. 244-255. . [Book Section] (doi:10.1007/978-3-642-11805-0_24)

Abstract

In this paper we propose three layout algorithms for semi-bipartite graphs—bipartite graphs with edges in one partition—that emerge from microarray experiment analysis. We also introduce a method that effectively reduces visual complexity by removing less informative nodes. The drawing quality and running time are evaluated with five real-world datasets, and the results show significant reduction in crossing number and total edge length. All the proposed methods are available in visualization package GEOMI [1], and are well received by domain users.

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